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Big Data Applications in Governance and Policy

Author

Listed:
  • Sarah Giest

    (Institute of Public Administration, Leiden University, The Netherlands)

  • Reuben Ng

    (Lee Kuan Yew School of Public Policy, National University of Singapore, Singapore)

Abstract

The editorial sets the scene for this thematic issue on big data applications in governance and policy. It highlights the lack of engagement in the current literature with the application of big data at the cross-section of governance of data and its utilization in the policy process and draws out aspects related to its definition and future research agenda. The contributions highlight several aspects related to big data in different contexts, such as local and national government as well as a variety of policy areas. They converge on the idea that big data applications cannot overcome existing political and structural limitations that exist in government. This leads to a future research agenda that looks at the disconnect between data production and usage as well as identifying policy issues that are more or less suitable for data analytics.

Suggested Citation

  • Sarah Giest & Reuben Ng, 2018. "Big Data Applications in Governance and Policy," Politics and Governance, Cogitatio Press, vol. 6(4), pages 1-4.
    • Handle: RePEc:cog:poango:v6:y:2018:i:4:p:1-4
    DOI: 10.17645/pag.v6i4.1810
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    References listed on IDEAS

    as
    1. Hannah Durrant & Julie Barnett & Emily Suzanne Rempel, 2018. "Realising the Benefits of Integrated Data for Local Policymaking: Rhetoric versus Reality," Politics and Governance, Cogitatio Press, vol. 6(4), pages 18-28.
    2. Justin Longo & Alan Rodney Dobell, 2018. "The Limits of Policy Analytics: Early Examples and the Emerging Boundary of Possibilities," Politics and Governance, Cogitatio Press, vol. 6(4), pages 5-17.
    3. Reuben Ng, 2018. "Cloud Computing in Singapore: Key Drivers and Recommendations for a Smart Nation," Politics and Governance, Cogitatio Press, vol. 6(4), pages 39-47.
    4. Reuben Ng, 2018. "Cloud Computing in Singapore: Key Drivers and Recommendations for a Smart Nation," Politics and Governance, Cogitatio Press, vol. 6(4), pages 39-47.
    5. Sarah Giest, 2017. "Big data for policymaking: fad or fasttrack?," Policy Sciences, Springer;Society of Policy Sciences, vol. 50(3), pages 367-382, September.
    6. Justin Longo & Alan Rodney Dobell, 2018. "The Limits of Policy Analytics: Early Examples and the Emerging Boundary of Possibilities," Politics and Governance, Cogitatio Press, vol. 6(4), pages 5-17.
    7. Hannah Durrant & Julie Barnett & Emily Suzanne Rempel, 2018. "Realising the Benefits of Integrated Data for Local Policymaking: Rhetoric versus Reality," Politics and Governance, Cogitatio Press, vol. 6(4), pages 18-28.
    Full references (including those not matched with items on IDEAS)

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